Liu Ke
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Recnmp: Accelerating personalized recommendation with near-memory processing
L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril, A Firoozshahian, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
AxTrain: Hardware-oriented neural network training for approximate inference
X He, L Ke, W Lu, G Yan, X Zhang
Proceedings of the International Symposium on Low Power Electronics and …, 2018
Nnest: Early-stage design space exploration tool for neural network inference accelerators
L Ke, X He, X Zhang
Proceedings of the International Symposium on Low Power Electronics and …, 2018
Verifying automotive systems in EAST-ADL/Stateflow using UPPAAL
EY Kang, L Ke, MZ Hua, YX Wang
2015 Asia-Pacific Software Engineering Conference (APSEC), 143-150, 2015
Statistical analysis of energy-aware real-time automotive systems in EAST-ADL/Stateflow
EY Kang, J Chen, L Ke, S Chen
2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA …, 2016
Neural network-inspired analog-to-digital conversion to achieve super-resolution with low-precision RRAM devices
W Cao, L Ke, A Chakrabarti, X Zhang
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2019
Fast-Gaussian SIFT and its hardware architecture for keypoint detection
L Ke, J Wang, X Zhao, F Liang
2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 436-439, 2016
Fast-Gaussian SIFT for Fast and Accurate Feature Extraction
L Ke, J Wang, Z Ye
Pacific Rim Conference on Multimedia, 355-365, 2016
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks
X He, W Lu, K Liu, G Yan, X Zhang
IEEE Design & Test 37 (1), 36-45, 2019
Near-Memory Processing in Action: Accelerating Personalized Recommendation with AxDIMM
L Ke, X Zhang, J So, JG Lee, SH Kang, S Lee, S Han, Y Cho, JH Kim, ...
IEEE Micro, 2021
Computer memory module processing device with cache storage
L Ke, X Zhang, U Gupta, WU Carole-Jean, MD Hempstead, B Reagen, ...
US Patent App. 16/783,924, 2021
Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM
W Cao, L Ke, A Chakrabarti, X Zhang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
Translating EAST-ADL/Stateflow Models into Probabilistic Verifiable Models: Statistical Verification of Vehicle Systems in EAST-ADL/Stateflow using UPPAAL Tools
EY Kang, J Chen, L Ke, S Chen
SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network
X He, L Ke, X Zhang
Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019
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